Whole-lesion histogram analysis of apparent diffusion coefficient for the assessment of non-mass enhancement lesions on breast MRI.

Natsuko Kunimatsu, Akira Kunimatsu, Yoshihiro Uchida, Ichiro Mori, Shigeru Kiryu

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Article in Journal of clinical imaging science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed

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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

Magnetic resonance imaging findings of non-mass enhancements in the breast and their association with malignancy.Medicine · 2026
Article
The utility of diffusion-weighted imaging for differentiation of phyllodes tumor from fibroadenoma and breast cancer.Frontiers in oncology · 2023
Article

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5 · Who and what money

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5 authors.

Natsuko KunimatsuDepartment of Radiology, Sanno Hospital, Akasaka, Minato-ku, Tokyo, Japan.

Akira KunimatsuDepartment of Radiology, International University of Health and Welfare, Mita Hospital, Minato-ku, Tokyo, Japan.

Yoshihiro UchidaDepartment of Breast Surgery, Sanno Medical Center, Akasaka, Minato-ku, Tokyo, Japan.

Ichiro MoriDiagnostic Pathology Center, International University of Health and Welfare, Kozunomori 4-3, Narita, Chiba, Japan.

Shigeru KiryuDepartment of Radiology, International University of Health and Welfare, Kozunomori 4-3, Narita, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate the application of apparent diffusion coefficient (ADC) histogram analysis in differentiating between benign and malignant breast lesions detected as non-mass enhancement on MRI. Materials and Methods: A retrospective study was conducted for 25 malignant and 26 benign breast lesions showing non-mass enhancement on breast MRI. An experienced radiologist without prior knowledge of the pathological results drew a region of interest (ROI) outlining the periphery of each lesion on the ADC map. A histogram was then made for each lesion. Following a univariate analysis of 18 summary statistics values, we conducted statistical discrimination after hierarchical clustering using Ward's method. A comparison between the malignant and the benign groups was made using multiple logistic regression analysis and the Mann-Whitney Results: Univariate analysis for the 18 summary statistics values showed the malignant group had greater entropy ( Conclusions: Whole-lesion ADC histogram analysis may be useful for differentiating malignant from benign lesions which show non-mass enhancement on breast MRI.

Indexed as

Breast neoplasmsDiffusion magnetic resonance imagingHistogram analysisMagnetic resonance imagingNon-mass enhancement

Identifiers

PMID35414962

DOI10.25259/JCIS_201_2021

PMCPMC8992364

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.